• Lead the end-to-end analytics program across product, marketing, and rewards, setting the measurement strategy and operating model for the company • Build and maintain source-of-truth dashboards, core metrics, and instrumentation standards in partnership with Data Engineering • Run robust experimentation at scale—A/B tests, geo/holdouts, matched markets—and drive causal measurement using CUPED, uplift modeling, and other advanced methods • Own funnel, cohort, retention, and rewards analytics (cashback, Adventures/Gigs, action incentives); identify leaks, quantify opportunities, and propose optimized reward structures • Stand up omnichannel marketing measurement across lifecycle, partners/affiliates, paid social/search, and influencers; lead incrementality and attribution frameworks • Develop LTV, payback, forecasting, and rewards economics models to guide roadmap, budget allocation, portfolio mix, and CAC/LTV guardrails • Publish weekly and monthly executive readouts with decision-ready insights; influence prioritization, staffing, and budget decisions • Ensure data quality and integrity through tracking requirements, validation, anomaly detection, and fraud/abuse monitoring (velocity, collusion, partner attribution, CPA integrity) • Build self-serve semantic layers and Looker dashboards that enable teams to independently answer key questions